lesson 5 completed

2-Regression/1-Tools/DanNotes.txt

@@ -0,0 +1,8 @@
+python -m venv sklearn-env
+sklearn-env\Scripts\activate  # activate
+pip install -U scikit-learn
+
+
+python -m pip show scikit-learn  # show scikit-learn version and location
+python -m pip freeze             # show all installed packages in the environment
+python -c "import sklearn; sklearn.show_versions()"

2-Regression/1-Tools/assignment.md

@@ -6,6 +6,9 @@ Take a look at the [Linnerud dataset](https://scikit-learn.org/stable/modules/ge
 
 In your own words, describe how to create a Regression model that would plot the relationship between the waistline and how many situps are accomplished. Do the same for the other datapoints in this dataset.
 
+I would load the data in the column at index 1 (situps)  as a numeric predictive value and the column at index 1 (waistline) as predictive target. I would split the sets in 2/3rds for training and 1/3rd for test. I would plot the resulkts of predictions against test values to confirm the corelation between situps and waistline - can the number of sitpus predict the waistline of a person.
+
+
 ## Rubric
 
 | Criteria                       | Exemplary                           | Adequate                      | Needs Improvement          |